Manabendra Saharia (Manab)
Curriculum Vitae (Updated: May 2017)
Google Scholar Profile
Education
- PhD, University of Oklahoma, May 2017
- M.S. in Water Resources Engineering, University of Texas at Arlington, USA, 2013
- B.Tech. in Civil Engineering, National Institute of Technology, Silchar, India, 2011
Research Interests
Flash Flood Forecasting, Remote Sensing, Precipitation, Neural Networks.
Journal Publications
- Saharia, M., Kirstetter, P.E., Vergara, H., Gourley, J.J., Hong, Y., Giroud, M. (2016). “Mapping Flash Flood Severity in the United States”. Journal of Hydrometeorology http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-16-0082.1
- Saharia, M., Kirstetter, P.E., Vergara, H., Gourley, J.J., Hong, Y., (2016). ”Characterization of Floods in the United States”. www.sciencedirect.com/science/article/pii/S0022169417301476
- Sunghee Kim, Sadeghi1, H., Limon, R.A., Saharia, M., Seo, D.J., Philpott, A., Bell, F., Brown, J., He, K., (2016) “Ensemble streamflow forecasting using short- and medium-range precipitation forecasts for the Upper Trinity River Basin in North Texas via the Hydrologic Ensemble Forecast Service (HEFS)”, [Under review, Weather and Forecasting]
- Li, W., Liu, C., Hong, Y., Zhang, X., Wan, Z., Saharia, M., Sun, W., Yao, D., Chen, W., Chen, S., others, 2016. A public Cloud-based China’s Landslide Inventory Database (CsLID): development, zone, and spatiotemporal analysis for significant historical events, 1949-2011. Journal of Mountain Science 13, 1275–1285.
- Li, W., Liu, C., Hong, Y., Saharia, M., Sun, W., Yao, D., Chen, W., 2016. Rainstorm-induced shallow landslides process and evaluation–a case study from three hot spots, China. Geomatics, Natural Hazards and Risk 1–11.
- Zhang, Y., Hong, Y., Wang, X., Gourley, J.J., Xue, X., Saharia, M., Ni, G., Wang, G., Huang, Y., Chen, S., others, 2014. Hydrometeorological Analysis and Remote Sensing of Extremes: Was the July 2012 Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems? Journal of Hydrometeorology.
- Shen, Y., Xiong, A., Hong, Y., Yu, J., Pan, Y., Chen, Z., & Saharia, M. (2014). Uncertainty analysis of five satellite-based precipitation products and evaluation of three optimally merged multi-algorithm products over the Tibetan Plateau. International Journal of Remote Sensing, 1-16.
- Zhang, Y., Hong, Y., Wang, X., Gourley, J. J., Xue, X., Saharia, M., & Tang, G. (2014). Hydrometeorological Analysis and Remote Sensing of Extremes: Was the July 2012 Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems?. Journal of Hydrometeorology.
- Roy, P., Choudhury, PS., Saharia, M., (2014) ,”River Reaches Flood Flow Prediction using PRNN model”, International Journal of Civil, Structural, Environmental and Infrastructure Engineering Research and Development
- Kumar, V., Jain, Sharad, K. and Saharia, M., (2012). “Analysis of Rainfall and Temperature trends in North-East India”, International Journal of Climatology, Wiley Publications.
- Saharia, M. and Bhattacharjya, R. K. (2012). “Geomorphology-based Time-Lagged Recurrent Neural Networks for Runoff Forecasting”, KSCE Journal of Civil Engineering, Springer,
Conference Publications
- Saharia, M., Kirstetter, PE, Gourley, JJ., Vergara, H. and Hong, Y. (2016) “Accounting for Rainfall Spatial Variability in Prediction of Flash Floods”, AGU Fall Meeting, Dec 12-16, San Francisco, California. [Selected for Oral presentation]
- Saharia, M., Kirstetter, PE, Gourley, JJ., Vergara, H. and Hong, Y. (2016) “Accounting for Rainfall
Spatial Variability in Prediction of Flash Floods”, 9th European Conference on Radar in Meteorology,
Oct 10, Turkey. [Oral] - Hong,Y., Gourley, JJ., Saharia, M., Flamig, Z., Clark, R., Zhang, K., Muthike, Denus., Hasan, Emad.,
Cappelaere, P., Frye, S., Handy, M., Nyaga, J. (2016) “Forecasting and Communicating Water-Related
Disasters in Africa”, SAGE, Nepal. [Poster] - Saharia, M., Kirstetter, PE, Gourley, JJ., Vergara, H. and Hong, Y. (2016) “Mapping the flashiest regions of the United States”, Research and Creativity Day, Mar 4 University of Oklahoma. [Best Oral Presentation award]
- Saharia, M., Kirstetter, PE, Gourley, JJ., Vergara, H. and Hong, Y. (2015) Mapping Flash Flood Severity in the United States”, AGU Fall Meeting, Dec 14-18, San Francisco, California. [Oral]
- Saharia, M., Kirstetter, PE, Gourley, JJ., Vergara, H. and Hong, Y. (2015) Where are the flashiest basins of the United States?”, Annual Meeting of the Society of Environmental Journalists (SEJ), Oct 7-11, Norman, Oklahoma. [Poster] [Best Poster Award]
- Saharia, M., Kirstetter, PE, Gourley, JJ., Vergara, H. and Hong, Y. (2015) Characterization and Prediction of Flash Flood Severity in the United States”, 2015 International Symposium on EarthScience Challenges, Sep 20-23, Norman, Oklahoma. [Oral]
- Saharia, M., Kirstetter, PE, Gourley, JJ., Vergara, H. and Hong, Y. (2014) Characterization of Floods in the United States, AGU Fall Meeting, Dec 15-19, San Francisco, California. [Poster]
- Saharia, M., Seo., Dong-Jun, Corby, R. and He, Kevin (2013) “Short-range Ensemble Streamflow Forecasting of the Upper Trinity River – Evaluation via hind-casting experiments”, AGU Meeting of the Americas, May 14-17, Cancun, Mexico.
- Saharia, M., Seo., Dong-Jun, Corby, R. and He, Kevin (2013) “Ensemble Streamflow Forecasting of the Upper Trinity River”, Annual Celebration of Excellence by Students (ACES) symposium, UTA, March 27, 2013, Arlington, Texas.
- Saharia, M., Bhattacharjya, R. K. and Satish, M. (2011). “Catchment Runoff Forecasting using Time Lagged Recurrent Neural Networks”.4th ASCE-EWRI International Perspective on Water Resources & the Environment(IPWE 2011), January 4-6, National University of Singapore.
- Roy, P., Choudhury, P. and Saharia, M. (2011). “River Reaches Flood Flow Prediction using TLRN models”. 4th ASCE-EWRI International Perspective on Water Resources & the Environment (IPWE 2011), January 4-6, National University of Singapore.
- Saharia, M. and Bhattacharjya. R. K. (2011). “Comparison of ANN-based Runoff-prediction Models Trained by Eight Different Learning Algorithms”.4th ASCE-EWRI International Perspective on Water Resources & the Environment (IPWE 2011), January 4-6, National University of Singapore.
- Roy, P., Choudhury, P. and Saharia, M. (2010). “Dynamic ANN modeling for Flood Forecasting in a river network”. International Conference on Modeling, Optimization and Computing (ICMOC 2010),American Institute of Physics Conf. Proc., NIT Durgapur, India.
Experience
- Graduate Research Assistant, HyDROS Group, University of Oklahoma, From Aug 2013.
- Graduate Research Assistant, HWRL, UT Arlington, Aug 2011 – July 2013.
- Summer Research Intern, IIT Roorkee and National Institute of Hydrology, Roorkee, 2010.
- Winter Trainee, IIT Guwahati,2009-10.
- Summer Trainee, IIT Guwahati, 2009.
Addendum
- Past and Present Advisors:
- Dr. Yang Hong, PhD Advisor, University of Oklahoma
- Dr. J.J. Gourley, PhD Advisor, University of Oklahoma
- Dr. Dong-Jun Seo, MS Advisor, UT Arlington.
- Prof. Sharad K. Jain, Internship Advisor, IIT Roorkee, India.
- Dr. Rajib Kumar Bhattacharjya, Internship Advisor, IIT Guwahati, India.
- Dr. P.S. Choudhury, B.Tech Project Guide, NIT Silchar.
- Dr. P. Roy, B.Tech Project Guide, NIT Silchar.
Contact Information
Email: msaharia@ou.edu Phone: 940.595.5219 Office: National Weather Center 4630, 120 David L. Boren Blvd., Norman, OK, 73072, USA
Prediction is difficult, especially with regard to the future.